{"id":"W4239172775","doi":"10.1515/iupac.83.0130","title":"Maximal Photoadsorption Stoichiometry","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"Water Quality Monitoring and Analysis","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Glossary; Chemical nomenclature; Photocatalysis; Compendium; Terminology; Chemistry; Nanotechnology; Catalysis; Materials science; Organic chemistry; History; Philosophy; Archaeology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001755611,0.002866455,0.002482438,0.004527604,0.001402465,0.004556146,0.002999471,0.00181663,0.05060882],"category_scores_gemma":[0.008194527,0.0008656185,0.003096165,0.00606661,0.0004697205,0.003258942,0.001807271,0.002605631,0.07187586],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002220273,"about_ca_system_score_gemma":0.002811144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01295821,"about_ca_topic_score_gemma":0.02031636,"domain_scores_codex":[0.99727,0.0002965097,0.0003619211,0.001157091,0.0006404047,0.000274076],"domain_scores_gemma":[0.997454,0.0006921322,0.0002367766,0.0007627782,0.0007232263,0.0001312259],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000489864,0.0001336716,0.00735808,0.005722879,0.0003397721,0.00005453697,0.00007170528,0.001983656,0.002256985,0.002786425,0.9646977,0.01410469],"study_design_scores_gemma":[0.0004643568,0.00006872851,0.0128137,0.0006273622,0.0002505545,0.0001534381,0.000126987,0.001639148,0.004289353,0.006390566,0.9730878,0.00008785146],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0006481652,0.0002829991,0.0001708818,0.00005692825,0.00003912114,0.0000277625,0.9965565,0.000542929,0.001674793],"genre_scores_gemma":[0.00164416,0.0002019561,0.0006318083,0.00006496924,0.000009543493,0.0001390837,0.99642,0.000109523,0.0007789587],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.05060882,"threshold_uncertainty_score":0.1693034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01569940442649212,"score_gpt":0.3716679219516518,"score_spread":0.3559685175251597,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}